A method of automatic generation of daily work report for power dispatching based on RoBERTa

被引：0

作者：

Li, Jie ^{[1
]}

Zhang, Tao ^{[2
]}

Li, Hao ^{[2
]}

Lu, Jixiang ^{[2
,3
]}

Lu, Jinjun ^{[2
,3
]}

Li, Ziqi ^{[2
]}

机构：

[1] State Grid Jiangsu Elect Power Co LTD, Nanjing, Peoples R China

[2] NARI Grp Corp, Technol Res Ctr, Nanjing, Peoples R China

[3] State Key Lab Intelligent Power Grid Protect & Op, Nanjing, Peoples R China

来源：

2020 6TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, CONTROL AND ROBOTICS (EECR 2020) | 2020年 / 853卷

关键词：

Natural Language Processing; Information Extraction; Named Entity Recognition; Pattern Matching; RoBERTa Introduction;

D O I：

10.1088/1757-899X/853/1/012032

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Power dispatching operators need to read a large number of power dispatching logs every day and arrange them into daily work reports. It takes them a lot of time to do information extraction and transfer that information into work reports. In order to reduce the workload of power dispatching operators, we propose an intelligent method for automatic generation of daily work reports in this paper by adopting RoBERTa, which is an improved version of BERT. With the outstanding performance of RoBERTa in semantic analysis and entity recognition, the workload of power dispatching operators is reduced approximately 50% through our proposed method, which means the efficiency is greatly improved.

引用

页数：5

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